30 citations · 90 across the 9 of their papers we have counts for
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stat.ML2021
Implicit Regularization in Matrix Sensing via Mirror Descent
Fan Wu, Patrick Rebeschini
We study discrete-time mirror descent applied to the unregularized empirical risk in matrix sensing. In both the general case of rectangular matrices and the particular case of pos…
stat.ML2020
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
Fan Wu, Patrick Rebeschini
We analyze continuous-time mirror descent applied to sparse phase retrieval, which is the problem of recovering sparse signals from a set of magnitude-only measurements. We apply m…
stat.ML2020
Hadamard Wirtinger Flow for Sparse Phase Retrieval
Fan Wu, Patrick Rebeschini
We consider the problem of reconstructing an -dimensional -sparse signal from a set of noiseless magnitude-only measurements. Formulating the problem as an unregularized empi…